Ronghao Yang

Title: Ronghao Yang: Innovator in Machine Learning and Database Systems

Introduction

Ronghao Yang is a prominent inventor based in Toronto, Canada. He has made significant contributions to the field of machine learning and database systems. His innovative work focuses on improving the efficiency of database queries through advanced predictive models.

Latest Patents

Ronghao Yang holds a patent for "Automated query predicate selectivity prediction using machine learning models." This invention provides a method, a computer system, and a computer program product for cardinality estimation. The patent outlines a process that includes accessing database relations to collect random samples. These samples are then used to generate training data, which helps in building a cumulative frequency function (CFF) model. The CFF model ultimately provides cardinality estimations for SQL operators.

Career Highlights

Ronghao Yang is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM involves leveraging his expertise in machine learning to enhance database performance and query optimization. His contributions have been instrumental in advancing the capabilities of database systems.

Collaborations

Ronghao Yang has collaborated with notable colleagues, including Mohamad F Kalil and Calisto Paul Zuzarte. These collaborations have fostered a productive environment for innovation and research within the field.

Conclusion

Ronghao Yang is a distinguished inventor whose work in machine learning and database systems has led to significant advancements in query optimization. His patent reflects his commitment to improving database efficiency, making him a valuable asset in the tech industry.